Data Assimilation Scientist

vor 2 Wochen

Bonn, Deutschland ECMWF Vollzeit
About the Role

The ECMWF is seeking a highly skilled Data Assimilation Scientist to join its Research Department. The successful candidate will be responsible for developing and maintaining the variational and ensemble-based ECMWF data assimilation systems.

The scientist recruited for this role will be responsible for developing and maintaining the variational and ensemble-based ECMWF data assimilation systems. The successful candidate is expected to take an active role in exploring and implementing new scientific ideas and technologies to advance DA science and their application to ECMWF Earth Data Assimilation system.

The role involves coding developments into the ECMWF Integrated Forecasting System on a High Performance Parallel Computing infrastructure. The successful candidate will embrace the technical complexities of the job and be alert to the opportunities of the rapidly evolving computing infrastructure.

The scientists will be based in the Data Assimilation Methodologies team within the ESAS Section.

About the ECMWF

The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world-leader in weather and environmental forecasting. As an international organisation we serve our members and the wider community with global weather predictions and data that is critical for understanding and solving the climate crisis.

We function as a 24/7 research and operational centre with a focus on medium and long-range predictions, holding one of the largest meteorological data archives in the world.

Main Duties and Key Responsibilities
  • Initiate, develop and implement scientific and technical innovations in the ECMWF 4D-Var - based assimilation system and its ensemble DA component
  • Further develop and improve methodologies for uncertainty estimation and modelling in the assimilation cycle, including Machine Learning solutions
  • Contribute to the maintenance and support of the operational DA and ensemble DA systems
Requirements
  • Excellent interpersonal and communication skills
  • Strong analytical problem-solving and scientific curiosity
  • Highly motivated to inspire scientific and technical innovation
  • Dedication and enthusiasm to lead and work in a team
  • Ability to work efficiently and complete a diverse range of tasks in a timely manner
Education and Experience
  • A university degree (EQF Level 8 or above) or equivalent industry experience
  • Experience of development of data assimilation systems for Numerical Weather Prediction or other environmental applications
  • Experience of scientific software development on High Performance Computing systems
Knowledge and Skills
  • In-depth understanding of data assimilation methodologies and techniques
  • General knowledge of meteorology and Earth System science
  • Proficiency in scientific computing (Fortran, C++, python, code and workflow management systems)
  • Knowledge and experience in developing machine learning applications would be a plus
  • Scientific planning, reporting and communication (written and verbal)

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